PuSH - Publikationsserver des Helmholtz Zentrums München

Mairhörmann, B. ; Padovani, F. ; Schmoller, K.M.

Zugängliche KI-Algorithmen für bessere Zellmikroskopie.

Available AI algorithms for better cell microscopy.

BioSpektrum 29, 378-380 (2023)
Verlagsversion DOI
Open Access Gold (Paid Option)
Creative Commons Lizenzvertrag
Artificial intelligence (AI) has revolutionized many fields, including bioimage analysis. Powerful AI-based tools enable the analysis of large image datasets with unprecedented accuracy. However, easy-to-use tools are needed to allow experimentalists without specialised technical knowledge to leverage AI to its full potential. Here, we discuss our efforts to develop an intuitive and open-source bioimage analysis software that enables scientists to easily access state-of-the-art AI models.
Altmetric
Weitere Metriken?
[➜Einloggen]
Zusatzinfos bearbeiten [➜Einloggen]
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
ISSN (print) / ISBN 0947-0867
e-ISSN 1868-6249
Zeitschrift BioSpektrum
Quellenangaben Band: 29, Heft: 4, Seiten: 378-380 Artikelnummer: , Supplement: ,
Verlag Springer
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Functional Epigenetics (IFE)
Institute of Network Biology (INET)